The algorithms compared with PaT

Installation

Please follow the instructions in the PaT to install the necessary dependencies.

Algorithms

1. Shelf Next Fit
2. Shelf First Fit
3. Skyline Bottom-Left
4. Zhao-2D
5. Deep-Pack
6. Zhao-2D with Truth Mask
7. Deep-Pack with Truth Mask

Usage example

If you want run deep-pack, please moving to the deep-pack directory.

cd deep-pack

Run the following command to start the deep-pack training and testing:

python main.py --config_path settings/v1_deeppack_DDQN-h200-rC.yaml

Like Pat, the complete commands for all experiments in the thesis are included in the scripts/all.sh script under each algorithm directory.

For example, the path to scripts/all.sh for deep-pack is deep-pack/scripts/all.sh.

References

• A Thousand Ways to Pack the Bin – A Practical Approach to Two-Dimensional Rectangle Bin Packing
• GitHub: RectangleBinPack
• Online 3D Bin Packing with Constrained Deep Reinforcement Learning
• GitHub: Online-3D-BPP-DRL
• Deep-Pack: A Vision-Based 2D Online Bin Packing Algorithm with Deep Reinforcement Learning
• GitHub: Deep-Pack (unofficial implementation)